[//]: #@corifeus-header [](https://paypal.me/patrikx3) [](https://www.patrikx3.com/en/front/contact) [](https://www.facebook.com/corifeus.software) [](https://network.corifeus.com/status/31ad7a5c194347c33e5445dbaf8) # 🎙️🧠 P3X Meet Assistant — live meeting transcription with OpenAI GPT-4o Transcribe, GPU speaker diarization, and 10-language support v2026.4.122 🌌 **Bugs are evident™ - MATRIX️** 🚧 **This project is under active development!** 📢 **We welcome your feedback and contributions.** ### NodeJS LTS is supported ### 🛠️ Built on NodeJs version ```txt v24.14.1 ``` # 📝 Description [//]: #@corifeus-header:end # Meet Assistant Real-time AI speech-to-text for meetings and conversations. Captures speaker audio, transcribes it live using **OpenAI GPT-4o Transcribe**, and auto-labels each utterance by voice (`Speaker 1`, `Speaker 2`, ...). Ships with 10 European languages out of the box. [](https://pypi.org/project/p3x-meet-assistant/) [](https://pypi.org/project/p3x-meet-assistant/) [](https://pypi.org/project/p3x-meet-assistant/)    ## 🌐 Hosted version — Meet Assistant SaaS Don't want to install anything? Try the **hosted version** at **<https://meeting.corifeus.com>** — full meeting workflow built for European businesses, no setup, no API key, no command line. What the hosted version adds on top of this open-source CLI: - **21-language live translation** during the meeting (vs 10 here) - **AI summaries, action items, decisions, attendees, key quotes** auto-generated after every meeting - **Custom vocabulary** — your client / company / industry terms corrected automatically (Pro+ tier) - **Searchable meeting library** — find any decision or promise across all your past meetings - **Shareable read-only links** — send a clean meeting summary to a client or teammate, no signup needed on their end - **One-click email summary** after each meeting - **Premium engine on every plan** — no downgraded model, ever - **EU billing** — Stripe Tax + VAT-compliant + EUR-priced (Solo €19.99 / Pro €39.99 / Business €99.99 per month, no lock-in) - **GDPR-compliant by default** — browser-language auto-detection, no tracking cookies, your meetings stored encrypted Try the live demo (1 minute free, no signup) or browse the **public sample meeting** at <https://meeting.corifeus.com/sample>. The CLI (this repo) and the SaaS (`meeting.corifeus.com`) share the same vision — premium-accuracy meeting transcription — but serve different needs. Use the CLI when you want full local control; use the SaaS when you want zero-setup + workflow features. ## Quickstart ```bash pip install p3x-meet-assistant export OPENAI_API_KEY=sk-... p3x-meet-assistant ``` Open <http://localhost:8088>. That's the whole thing — the wheel bundles the full web UI, so no Node.js, no `git clone`, no build step. ## Features - Live transcription via **OpenAI GPT-4o Transcribe** — the highest-accuracy speech model available today - Automatic speaker diarization — colored `Speaker 1 / 2 / 3 ...` labels based on voice fingerprint - 10 languages: **English, Hungarian, German, French, Spanish, Italian, Portuguese, Dutch, Polish, Czech** - Browser-based UI — Dark / Light theme, adjustable font size, one-click transcript export - System-audio capture on Linux (PulseAudio / PipeWire) or any browser-tab audio via **MIC** / **TAB** buttons - Rolling prompt context keeps proper nouns, jargon, and acronyms consistent across chunks - Session auto-save to `sessions/YYYY-MM-DD-HH-MM.txt` - Distributed as a single **pip-installable Python package** ### One language at a time — why Auto-detect mode (trying two languages and picking the best) produces far more hallucinations than explicitly selecting a single language. Pick what you're actually hearing and accuracy jumps dramatically. ## Links - **PyPI package**: <https://pypi.org/project/p3x-meet-assistant/> - **GitHub repository**: <https://github.com/patrikx3/meet-assistant> - **Releases & changelogs**: <https://github.com/patrikx3/meet-assistant/releases> - **Issue tracker**: <https://github.com/patrikx3/meet-assistant/issues> - **Homepage**: <https://corifeus.com/meet-assistant> ## Platforms — works on Linux, macOS, and Windows Meet Assistant runs on **any OS with Python 3.10+ and a modern browser**. The only feature that's Linux-specific is the optional server-side system-audio capture. Everywhere else you use the browser's built-in audio capture — same APIs Google Meet uses. | Platform | Install | Microphone | System / tab audio | GPU diarization | | :--- | :--- | :--- | :--- | :--- | | **Linux** (desktop) | `pip install 'p3x-meet-assistant[linux-capture]'` + `sudo apt install portaudio19-dev` | ✓ **MIC** button | ✓ Auto-captured via PulseAudio / PipeWire (plus **TAB** button) | ✓ NVIDIA CUDA | | **macOS** | `pip install p3x-meet-assistant` | ✓ **MIC** button | ✓ **TAB** button (Chrome/Edge; share a tab with audio) | ✓ CPU or Apple Silicon eGPU | | **Windows** | `pip install p3x-meet-assistant` | ✓ **MIC** button | ✓ **TAB** button | ✓ NVIDIA CUDA or CPU | | **Cloud server** | `pip install p3x-meet-assistant` | — (no local audio) | Browser capture from the user's machine | Optional CPU diarization | ### macOS specifics - The standard `pip install p3x-meet-assistant` works. No homebrew needed for the default setup. - For meetings in Google Meet / Zoom / Teams, use the **TAB** button in the browser — it works identically to how you'd share audio in a Meet call. - To capture system audio *outside* a browser tab (e.g. a desktop Zoom app), install [BlackHole](https://github.com/ExistentialAudio/BlackHole) or Loopback to create a virtual audio device, then select it as the browser's microphone input. - For GPU speaker diarization on Apple Silicon, the `[gpu]` extra installs `torch`; it runs on the Metal backend automatically. ### Windows specifics - The standard `pip install p3x-meet-assistant` works on Windows 10/11. - Open **PowerShell** or **Command Prompt** and run `p3x-meet-assistant`. - **TAB** button captures any browser-tab audio (the same permission flow as Meet's "Share a tab" with the "Share audio" checkbox). - If you want system-wide capture, tools like VB-Audio Cable or Voicemeeter expose a virtual microphone that routes all system audio into the browser. - NVIDIA GPU diarization works out of the box via the `[gpu]` extra. ### Requirements — bare minimum - Python 3.10+ - A modern browser (Chrome, Firefox, Edge) - An OpenAI API key Node.js is **not** required when installing from PyPI — the wheel ships the pre-built frontend. ### Requirements — optional extras - **Linux system-audio capture**: `portaudio19-dev` package + the `[linux-capture]` pip extra - **Speaker diarization**: any NVIDIA GPU with ~500 MB VRAM (GTX 1650 / RTX 2060 and up) + the `[gpu]` pip extra. CPU fallback works but is slower. No GPU is fine — the app degrades gracefully. You lose speaker labels but everything else works. ## Install from PyPI The recommended path for anyone who just wants to **use** Meet Assistant. The Python wheel bundles the pre-built frontend, so there's no Node.js, no build step, no `git clone` — just `pip install` and go. ### 1. One-time setup — create a virtual environment Skip straight to step 2 if you already use a venv or a managed environment like `pipx`, `poetry`, or `uv`. ```bash python3 -m venv ~/.venvs/meet-assistant source ~/.venvs/meet-assistant/bin/activate ``` Installing into the system Python works too, but a venv keeps dependencies isolated. On some modern Linux distros (Ubuntu 24.04+, Debian 12+) system-wide `pip install` is blocked by PEP 668 — a venv (or `pipx`) is required. ### 2. Install the package Pick the variant that matches your hardware. All four commands install the same core package; the optional extras pull in additional wheels for features you want. | Command | What you get | Wheel size | Recommended for | | :--- | :--- | :--- | :--- | | `pip install p3x-meet-assistant` | Cloud transcription (GPT-4o) + browser audio capture | ~300 kB + deps (~40 MB) | Laptops, macOS/Windows, cloud servers | | `pip install 'p3x-meet-assistant[gpu]'` | Above + GPU speaker diarization (`resemblyzer` + `torch`) | ~700 MB total | Workstations with any NVIDIA GPU | | `pip install 'p3x-meet-assistant[linux-capture]'` | Above + server-side PulseAudio / PipeWire capture (`SpeechRecognition` + `PyAudio`) | ~40 MB + system portaudio | Linux desktops that want system-audio capture | | `pip install 'p3x-meet-assistant[all]'` | Everything together | ~700 MB | Full local workstation install | Linux users with `[linux-capture]` or `[all]` need the PortAudio dev headers before `pip install`: ```bash sudo apt install portaudio19-dev ``` ### 3. Provide your OpenAI API key Get a key at <https://platform.openai.com/api-keys>, then either: **Option A — environment variable** (quickest): ```bash export OPENAI_API_KEY=sk-... ``` Add it to `~/.bashrc` / `~/.zshrc` if you want it permanent. **Option B — `.env` file in your working directory**: ```bash cd ~/my-meetings # wherever you run the command from echo "OPENAI_API_KEY=sk-..." > .env ``` Meet Assistant automatically loads `.env` from the current working directory on startup. ### 4. Run it ```bash p3x-meet-assistant ``` Open <http://localhost:8088> in your browser. Pick a language from the top dropdown, then either: - Click **MIC** to transcribe your microphone - Click **TAB** to share a browser tab with audio (Google Meet, YouTube, a Facebook stream — anything with "Share audio" enabled) - On Linux with `[linux-capture]` installed, the server auto-detects the system speaker monitor and starts transcribing immediately Every transcript is appended to `sessions/YYYY-MM-DD-HH-MM.txt` in your working directory automatically. ### Upgrade or uninstall ```bash pip install --upgrade p3x-meet-assistant # latest stable pip install 'p3x-meet-assistant==2026.4.109' # pin to a specific release pip uninstall p3x-meet-assistant # remove ``` Release notes for every version: <https://github.com/patrikx3/meet-assistant/releases>. ### What gets installed The wheel contains: - `meet_assistant/` — the Python package (FastAPI server, OpenAI client, diarizer, state manager) - `meet_assistant/dist/` — the pre-built Vite frontend (HTML, JS, CSS, Font Awesome fonts) - Entry point `p3x-meet-assistant` → `meet_assistant.cli:main` What's **not** in the wheel (excluded by `MANIFEST.in`): `secure/`, `agents/`, `.claude/`, `.vscode/`, `AGENTS.md`, `CLAUDE.md`, source-only configs, the dev launcher, and any tokens. Safe to install from PyPI. ### Troubleshooting a pip install | Symptom | Fix | | :--- | :--- | | `externally-managed-environment` (PEP 668) | Use a venv (`python3 -m venv`) or `pipx install p3x-meet-assistant` | | `Could not build wheels for PyAudio` on Linux | Install `portaudio19-dev`: `sudo apt install portaudio19-dev` | | `Could not build wheels for PyAudio` on macOS | `brew install portaudio` then retry | | `No module named 'torch'` at runtime | Install the `[gpu]` extra or skip diarization | | Port 8088 already in use | Run with `p3x-meet-assistant --port 9000` (or any free port) | | `No OpenAI API key found` | Set `OPENAI_API_KEY` in your shell or `.env` in the working directory | ## Install from source (development workflow) Only needed if you want to hack on the code itself. ```bash git clone https://github.com/patrikx3/meet-assistant.git cd meet-assistant # Linux only — for PulseAudio capture sudo apt install portaudio19-dev # Python venv python3 -m venv venv # Pick ONE based on your hardware: ./venv/bin/pip install -r requirements.txt # full local with GPU ./venv/bin/pip install -r requirements-cloud.txt # cloud-only, no GPU # Frontend build yarn install yarn build:web # Dev launcher (auto-reload) ./meet-assistant-web.py --dev ``` Want diarization later on an already-installed source checkout? Just add: ```bash ./venv/bin/pip install resemblyzer ``` ## Command-line options | Flag | Default | Description | | :--- | :--- | :--- | | `--port PORT` | `8088` | Web server port | | `--host HOST` | `0.0.0.0` | Web server host | | `--dev` | off | Auto-reload on Python file changes | | `--device INDEX` | `11` | PyAudio device index for the speaker monitor (Linux only) | ## Speaker diarization If the diarizer loaded successfully (check the startup console output), every transcribed line is prefixed with a `Speaker N` label, color-coded in the UI. Clusters live in memory for the session — click the **Clear** button to wipe them and start fresh. - Runs on GPU (CUDA) automatically, falls back to CPU if no GPU is available - Adds ~20 ms per chunk on a modern NVIDIA card — imperceptible - Language-independent (voice fingerprint, not words) - Tuning knob: `SIMILARITY_THRESHOLD` in [web/diarizer.py](web/diarizer.py). Lower = more merging, higher = more splitting. Default: `0.75`. **Troubleshooting the clustering:** - Same person gets split across multiple speakers → lower the threshold to ~0.65 - Different people collapse into one speaker → raise the threshold to ~0.82 ## How audio is captured **Linux with PulseAudio / PipeWire (default on a local workstation):** The app auto-detects your speakers' monitor source and records everything that plays on them — meeting audio, video calls, YouTube, Facebook streams, anything audible. No routing setup needed. **Any OS (or cloud deployment):** Click the **MIC** button to transcribe your microphone, or the **TAB** button to share a browser tab with audio (identical to Google Meet's "Share tab with audio" feature). Uses the standard `getUserMedia` / `getDisplayMedia` browser APIs. ## Use with Google Meet / Zoom / Teams / Facebook Live Start Meet Assistant, then join your call or open your stream as normal. On Linux, system audio is captured automatically. On other platforms, click **TAB** and select the meeting tab with "Share audio" enabled. ## Development ```bash # Frontend dev server with HMR (port 5173, proxies /ws to :8088) npm run dev # Production build npm run build:web # Backend with auto-reload on file changes ./meet-assistant-web.py --dev ``` **VS Code:** open the project and press **F5** — preset launch configs are wired up. ## Project structure ``` meet-assistant-web.py # Entry point web/ __init__.py # Package init, .env auto-load, audio bootstrap audio.py # PulseAudio source detection engines.py # OpenAI GPT-4o Transcribe wrapper + hallucination filter diarizer.py # Speaker diarization (resemblyzer on CUDA) state.py # App state, WebSocket broadcast, capture loop server.py # FastAPI app, routes, WebSocket handler src/ # Frontend source (Vite) index.html main.js style.css dist/ # Built frontend (gitignored) requirements.txt # Full deps with GPU diarization requirements-cloud.txt # Lean deps, cloud-only (no diarization) .env.example # Template for your API key ``` ## Troubleshooting | Symptom | Fix | | :--- | :--- | | `No OpenAI API key found` | Set `OPENAI_API_KEY` in `.env` or `export` it in your shell | | `No monitor source found` | You're not on PulseAudio/PipeWire — use the **MIC** or **TAB** browser buttons | | `Diarizer unavailable` | Install `resemblyzer`: `./venv/bin/pip install resemblyzer` — or ignore if you don't want speaker labels | | One person tagged as multiple speakers | Lower `SIMILARITY_THRESHOLD` in `web/diarizer.py` to ~0.65 | | Multiple people collapsed into one speaker | Raise `SIMILARITY_THRESHOLD` to ~0.82 | | Too many hallucinations on silent audio | Already filtered — see `_is_hallucination` in `web/engines.py` | ## License MIT [//]: #@corifeus-footer --- # Corifeus Network AI-powered network & email toolkit — free, no signup. **Web** · [network.corifeus.com](https://network.corifeus.com) **MCP** · [`npm i -g p3x-network-mcp`](https://www.npmjs.com/package/p3x-network-mcp) - **AI Network Assistant** — ask in plain language, get a full domain health report - **Network Audit** — DNS, SSL, security headers, DNSBL, BGP, IPv6, geolocation in one call - **Diagnostics** — DNS lookup & global propagation, WHOIS, reverse DNS, HTTP check, my-IP - **Mail Tester** — live SPF/DKIM/DMARC + spam score + AI fix suggestions, results emailed (localized) - **Monitoring** — TCP / HTTP / Ping with alerts and public status pages - **MCP server** — 17 tools exposed to Claude Code, Codex, Cursor, any MCP client - **Install** — `claude mcp add p3x-network -- npx p3x-network-mcp` - **Try** — *"audit example.com"*, *"why do my emails land in spam? test me@example.com"* - **Source** — [patrikx3/network](https://github.com/patrikx3/network) · [patrikx3/network-mcp](https://github.com/patrikx3/network-mcp) - **Contact** — [patrikx3.com](https://www.patrikx3.com/en/front/contact) · [donate](https://paypal.me/patrikx3) --- ## ❤️ Support Our Open-Source Project If you appreciate our work, consider ⭐ starring this repository or 💰 making a donation to support server maintenance and ongoing development. Your support means the world to us—thank you! --- ### 🌍 About My Domains All my domains, including [patrikx3.com](https://patrikx3.com), [corifeus.eu](https://corifeus.eu), and [corifeus.com](https://corifeus.com), are developed in my spare time. While you may encounter minor errors, the sites are generally stable and fully functional. --- ### 📈 Versioning Policy **Version Structure:** We follow a **Major.Minor.Patch** versioning scheme: - **Major:** 📅 Corresponds to the current year. - **Minor:** 🌓 Set as 4 for releases from January to June, and 10 for July to December. - **Patch:** 🔧 Incremental, updated with each build. **🚨 Important Changes:** Any breaking changes are prominently noted in the readme to keep you informed. [**P3X-MEET-ASSISTANT**](https://corifeus.com/meet-assistant) Build v2026.4.122 [](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=QZVM4V6HVZJW6) [](https://www.patrikx3.com/en/front/contact) [](https://www.facebook.com/corifeus.software) [//]: #@corifeus-footer:end